Full-Time Data Engineer (Snowflake)

Overview: As a Data Engineer specializing in Snowflake, you will play a pivotal role in designing, implementing, and maintaining the data architecture for our organization. Your expertise in Snowflake, a cloud-based data warehousing platform, will be essential in optimizing data workflows, ensuring data quality, and enabling efficient data analysis and reporting.

Responsibilities:

1. Data transformations and Design: Collaborate with cross-functional teams to understand data requirements and design scalable and efficient data transformations using Snowflake. Develop and maintain the data architecture, ensuring it aligns with business goals and industry best practices.
2. Snowflake Implementation / Maintenance: Configure and optimize Snowflake environments to meet performance and scalability requirements. Implement and maintain data pipelines and ETL processes using Snowflake features and functionalities.
3. Data Modeling: Design and implement data models, ensuring they support the analytical needs of the organization. Work closely with data scientists, analysts, and other stakeholders to understand data usage patterns and optimize data structures.
4. Performance Optimization: Monitor and optimize query performance in Snowflake, identifying and addressing bottlenecks in data processing. Implement best practices for data storage, indexing, and partitioning to enhance overall system performance.
5. Data Integration & Automation: Integrate data from various sources into Snowflake, ensuring data consistency, accuracy, and timeliness. Managing and maintaining existing, and creating new Data pipelines. Collaborate with data source owners to establish and maintain data ingestion processes. Develop and deploy machine learning models to automate processes and integrate customer data across multiple systems of record. Regularly evaluate the performance of deployed models and adjust them to ensure they meet evolving customer and business needs. Build predictive models to anticipate Internal data needs, enabling proactive support and decision-making.
6. Security and Compliance: Implement and enforce security measures to protect sensitive / confidential data within Snowflake. Ensure compliance with data governance requirements.
7. Documentation: Create and maintain comprehensive documentation for data engineering processes, Snowflake configurations, and data models. Provide training and support to other team members on Snowflake best practices.
8. Collaboration: Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver effective data solutions. Work closely with the IT team to integrate Snowflake with other systems and applications.

Requirements:

• Bachelor's degree in Data or Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer with a focus on Snowflake.
• In-depth knowledge of Snowflake architecture, features, and best practices.
• Proficiency in SQL, experience with data modeling tools, and experience with AI/ML framework.
• Strong problem-solving skills and the ability to optimize data workflows for performance.
• Experience with cloud platforms (e.g., Snowflake, Azure) and related services.
• Familiarity with data integration tools and ETL processes.
• Excellent communication and collaboration skills.
• Certifications in Snowflake or related technologies are a plus.

Unit4 Benefits:
a culture built on trust - giving you the freedom and autonomy to be successful,
balance - with our uncapped time off policy, remote working opportunities and Global Wellbeing Days,
talented colleagues, role models and mentors - work, learn and be inspired,
a commitment to sustainability - with initiatives such as our Act4Good program,
a safe and inclusive working environment.

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